To be filled out by faculty nominator, can be edited by student:
Dr. Janos L. Grantner
Electrical and Computer Engineering
Nowadays, computational intelligence has been applied to transform human behavior and experience into mathematical representations that can be interpreted by computer programs. The development of intelligent control systems and intelligent decision support systems (IDSS) (Fig. 1) are part of this trend. Moreover, Partial reconfiguration allows some regions of the FPGA to be dynamically reconfigured while other tasks are still running in the remainder of the device. A hardware accelerator was developed for a fuzzy automaton-based decision support system in the context of testing eye-hand coordination skills for handicapped children. A Zynq-7000 FPGA platform (Fig. 3) was used for this project. MatLab simulations and a test bench environment were designed to verify the results of the hardware simulations and implementation.
WMU ScholarWorks Citation
Nguyen, Chinh K., "Design of Hardware Accelerator for Fuzzy Automaton using Dynamic Reconfiguration" (2014). Research and Creative Activities Poster Day. 104.